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LOSS-GAT: Label Propagation and One-Class Semi-Supervised Graph
  Attention Network for Fake News Detection

LOSS-GAT: Label Propagation and One-Class Semi-Supervised Graph Attention Network for Fake News Detection

13 February 2024
Batool Lakzaei
M. H. Chehreghani
Alireza Bagheri
ArXivPDFHTML

Papers citing "LOSS-GAT: Label Propagation and One-Class Semi-Supervised Graph Attention Network for Fake News Detection"

2 / 2 papers shown
Title
Cross-SEAN: A Cross-Stitch Semi-Supervised Neural Attention Model for
  COVID-19 Fake News Detection
Cross-SEAN: A Cross-Stitch Semi-Supervised Neural Attention Model for COVID-19 Fake News Detection
William Scott Paka
Rachit Bansal
Abhay Kaushik
Shubhashis Sengupta
Tanmoy Chakraborty
FedML
GNN
26
115
0
17 Feb 2021
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Tomáš Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
281
31,267
0
16 Jan 2013
1